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HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping


Jun 18, 2021
Yuhan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, Rongrong Ji

* Accepted to IJCAI 2021, project website: https://johann.wang/HifiFace 

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1$\times$N Block Pattern for Network Sparsity


Jun 15, 2021
Mingbao Lin, Yuchao Li, Yuxin Zhang, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji


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You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient


Jun 04, 2021
Shaokun Zhang, Xiawu Zheng, Chenyi Yang, Yuchao Li, Yan Wang, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji

* 12 pages, 3 figures 

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Towards Compact CNNs via Collaborative Compression


May 24, 2021
Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji

* This paper is published in CVPR 2021 

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Local Relation Learning for Face Forgery Detection


May 06, 2021
Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Jilin Li, Rongrong Ji

* 8 pages, 6 figures, Accepted by AAAI2021 

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ISTR: End-to-End Instance Segmentation with Transformers


May 06, 2021
Jie Hu, Liujuan Cao, Yao Lu, ShengChuan Zhang, Yan Wang, Ke Li, Feiyue Huang, Ling Shao, Rongrong Ji


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Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack


May 03, 2021
Yixu Wang, Jie Li, Hong Liu, Yongjian Wu, Rongrong Ji


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Carrying out CNN Channel Pruning in a White Box


Apr 24, 2021
Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji

* 11 pages, 4 figures 

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DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning


Apr 19, 2021
Yuting Gao, Jia-Xin Zhuang, Ke Li, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Xing Sun


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Lottery Jackpots Exist in Pre-trained Models


Apr 18, 2021
Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Yongjian Wu, Feiyue Huang, Mingliang Xu, Yonghong Tian, Rongrong Ji

* 10 pages, 7 figures 

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Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning


Apr 06, 2021
Boyu Yang, Mingbao Lin, Binghao Liu, Mengying Fu, Chang Liu, Rongrong Ji, Qixiang Ye


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Distilling a Powerful Student Model via Online Knowledge Distillation


Mar 29, 2021
Shaojie Li, Mingbao Lin, Yan Wang, Feiyue Huang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji


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On Evolving Attention Towards Domain Adaptation


Mar 25, 2021
Kekai Sheng, Ke Li, Xiawu Zheng, Jian Liang, Weiming Dong, Feiyue Huang, Rongrong Ji, Xing Sun

* Among the first to study arbitrary domain adaptation from the perspective of network architecture design 

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ReCU: Reviving the Dead Weights in Binary Neural Networks


Mar 23, 2021
Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji

* 11 pages, 5 figures 

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Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection


Mar 10, 2021
Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye

* This paper has been modified by the author due to errors 

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Image-to-image Translation via Hierarchical Style Disentanglement


Mar 02, 2021
Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji

* CVPR 2021. The code will be released at at https://github.com/imlixinyang/HiSD 

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DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results


Feb 18, 2021
Liming Jiang, Zhengkui Guo, Wayne Wu, Zhaoyang Liu, Ziwei Liu, Chen Change Loy, Shuo Yang, Yuanjun Xiong, Wei Xia, Baoying Chen, Peiyu Zhuang, Sili Li, Shen Chen, Taiping Yao, Shouhong Ding, Jilin Li, Feiyue Huang, Liujuan Cao, Rongrong Ji, Changlei Lu, Ganchao Tan

* Technical report. Challenge website: https://competitions.codalab.org/competitions/25228 

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SiMaN: Sign-to-Magnitude Network Binarization


Feb 16, 2021
Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Mingliang Xu, Chia-Wen Lin, Ling Shao


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Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System


Feb 01, 2021
Jian Zhang, Ying Tai, Taiping Yao, Jia Meng, Shouhong Ding, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji

* arXiv admin note: substantial text overlap with arXiv:1902.10311 

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Non-Parametric Adaptive Network Pruning


Jan 25, 2021
Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye


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Dual-Level Collaborative Transformer for Image Captioning


Jan 16, 2021
Yunpeng Luo, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Yongjian Wu, Feiyue Huang, Chia-Wen Lin, Rongrong Ji

* AAAI 2021 

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Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network


Dec 13, 2020
Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun, Fuhai Chen, Gen Luo, Yongjian Wu, Yue Gao, Rongrong Ji

* Accepted at AAAI 2021 (preprint version) 

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Fast Class-wise Updating for Online Hashing


Dec 01, 2020
Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao

* Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 

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Learning Efficient GANs using Differentiable Masks and co-Attention Distillation


Nov 21, 2020
Shaojie Li, Mingbao Lin, Yan Wang, Mingliang Xu, Feiyue Huang, Yongjian Wu, Ling Shao, Rongrong Ji


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PAMS: Quantized Super-Resolution via Parameterized Max Scale


Nov 09, 2020
Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Yuchao Li, Baochang Zhang, Fan Yang, Rongrong Ji

* ECCV 2020 

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Rotated Binary Neural Network


Oct 22, 2020
Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin

* Accepted by NeurIPS2020 (The 34th Conference on Neural Information Processing Systems) 

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